//*****************************************************************************
// Copyright 2017-2019 Intel Corporation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//*****************************************************************************

#pragma once

#include "ngraph/axis_vector.hpp"
#include "ngraph/node.hpp"
#include "ngraph/op/op.hpp"

namespace ngraph
{
    namespace op
    {
        /// \brief Tensor transpose operation.
        class Transpose : public Op
        {
        public:
            /// \brief Constructs a transpose operation.
            ///
            /// \param arg Node producing the tensor to be transposed.
            /// \param input_order Node producing the permutation to apply to the axes of the
            ///                    input shape. Must be a vector of element type element::i64,
            ///                    with shape [n], where n is the rank of arg. The tensor's
            ///                    value must contain every integer in the range [0,n-1].
            Transpose(const std::shared_ptr<Node>& arg, const std::shared_ptr<Node>& input_order);

            void validate_and_infer_types() override;

            virtual std::shared_ptr<Node>
                copy_with_new_args(const NodeVector& new_args) const override;

        protected:
            virtual void generate_adjoints(autodiff::Adjoints& adjoints,
                                           const NodeVector& deltas) override;
        };
    }
}
